Triple
T16143965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zydrunas Ilgauskas |
E391730
|
entity |
| Predicate | CavaliersTenureStart |
P121291
|
FINISHED |
| Object | 1997 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 1997 | Statement: [Zydrunas Ilgauskas, CavaliersTenureStart, 1997]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CavaliersTenureStart Context triple: [Zydrunas Ilgauskas, CavaliersTenureStart, 1997]
-
A.
CavaliersStarPlayer
Indicates that an entity is the primary or standout player for the Cleveland Cavaliers basketball team.
-
B.
startTimeOfTenureWithBostonCeltics
Indicates the date and time when an individual's tenure with the Boston Celtics began.
-
C.
headCoachTenureStartYearWithIndianapolisColts
Indicates the year in which an individual began their tenure as head coach of the Indianapolis Colts.
-
D.
headCoachStartYear
Indicates the year in which an individual began serving as the head coach of a team or organization.
-
E.
coachOfTeamLeBronFranchiseAtTime
Indicates that a person serves as the coach of the Team LeBron franchise during a specified time period.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d91925c81909839a4e2f189d23b |
completed | April 17, 2026, 11:46 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1835b64948190ae1d2a9d4cc64acf |
completed | April 17, 2026, 12:48 a.m. |
Created at: April 10, 2026, 5:01 a.m.